


from math import pi, sqrt







def 							lowerCAmelCase_	(   __lowerCamelCase      ):
							if num <= 0:
														raise ValueError("math domain error"      )
							if num > 1_7_1.5:
														raise OverflowError("math range error"      )
							elif num - int(__lowerCamelCase      ) not in (0, 0.5):
														raise NotImplementedError("num must be an integer or a half-integer"      )
							elif num == 0.5:
														return sqrt(__lowerCamelCase      )
							else:
														return 1.0 if num == 1 else (num - 1) * gamma(num - 1      )







def 							lowerCAmelCase_	(   ):
							assert gamma(0.5      ) == sqrt(__lowerCamelCase      )
							assert gamma(1      ) == 1.0
							assert gamma(2      ) == 1.0


if __name__ == "__main__":
			from doctest import testmod

			testmod()
			_snake_case	:						Optional[Any]         =							1.0
			while num:
						_snake_case	:						Dict         =							float(input("Gamma of: "))
						print(f'''gamma({num}) = {gamma(num)}''')
						print("\nEnter 0 to exit...")








'''simple docstring'''






import fire

from transformers import AutoConfig, AutoModelForSeqaSeqLM, AutoTokenizer






def   __A    (				a_    :	str   ,a_    :	str   ,**a_    :	int						):
		lowerCAmelCase  :     str       						= AutoConfig.from_pretrained(a_   ,**a_						)
		lowerCAmelCase  :     Any       						= AutoModelForSeqaSeqLM.from_config(a_						)
		model.save_pretrained(a_						)
		AutoTokenizer.from_pretrained(a_						).save_pretrained(a_						)
		return model


if __name__ == "__main__":
					fire.Fire(save_randomly_initialized_version)



